As data discovery becomes increasingly important for democratizing decision making and draws data from ever more sources, business must face the issue of managing the population of these environments. This leads to the concept of governed data discovery to ensure clean, consistent data for the business and to avoid a spaghetti-like population architecture for IT.

- Barry Devlin in Data Discovery Automation: Learning from the Warehouse Experience

May 24, 2016 (Whitepaper)

Discovery. A self-service workbench provides the essential features of a data catalog. Users can search using natural language. They can tag, rate, and comment on assets. Analysts can view usage statistics and preview data before querying it. If an organization has already invested in other tools, many workbenches will integrate with data catalogs and business glossaries to provide additional metadata.

- Joe Hilleary in When a Data Catalog is Not Enough: The Case for the Self-Service Analytics Workbench

January 22, 2021 (Whitepaper)

Data discovery applies AI/ML to identify structures, patterns, and relationships in data and collect metadata that describes those structures, patterns, and relationships.

- Dave Wells in Data Governance Automation: Making the Most of Data and Analytics Technologies

April 30, 2020 (Report)